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Parasitology
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Parasitology
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Parasitology
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The silicon trypanosome

Authors: Barbara M. Bakker; Rainer Breitling; Mark Girolami; Michael P. Barrett; Christine Clayton; Keith R. Matthews; Hans V. Westerhoff; +4 Authors

The silicon trypanosome

Abstract

SUMMARYAfrican trypanosomes have emerged as promising unicellular model organisms for the next generation of systems biology. They offer unique advantages, due to their relative simplicity, the availability of all standard genomics techniques and a long history of quantitative research. Reproducible cultivation methods exist for morphologically and physiologically distinct life-cycle stages. The genome has been sequenced, and microarrays, RNA-interference and high-accuracy metabolomics are available. Furthermore, the availability of extensive kinetic data on all glycolytic enzymes has led to the early development of a complete, experiment-based dynamic model of an important biochemical pathway. Here we describe the achievements of trypanosome systems biology so far and outline the necessary steps towards the ambitious aim of creating a ‘Silicon Trypanosome’, a comprehensive, experiment-based, multi-scale mathematical model of trypanosome physiology. We expect that, in the long run, the quantitative modelling enabled by the Silicon Trypanosome will play a key role in selecting the most suitable targets for developing new anti-parasite drugs.

Countries
United Kingdom, Netherlands, United Kingdom
Keywords

Trypanosoma, /dk/atira/pure/subjectarea/asjc/2400/2405, GLYCOLYTIC-ENZYMES, PARASITIC PROTOZOA, SACCHAROMYCES-CEREVISIAE, SDG 17 - Partnerships for the Goals, /dk/atira/pure/subjectarea/asjc/2700/2725, Silicon Cell, BLOOD-STREAM FORMS, LINLOG KINETICS, Trypanosoma brucei, PENTOSE-PHOSPHATE PATHWAY, AFRICAN TRYPANOSOMES, GENE-EXPRESSION, /dk/atira/pure/subjectarea/asjc/1100/1103, Systems Biology, differentiation, QR, Infectious Diseases, RNA INTERFERENCE, SYSTEMS BIOLOGY, gene expression, Animal Science and Zoology, Parasitology, metabolism

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    22
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Average
Average
Top 10%
Green
gold